Anti-interference beam pattern design based on second-order cone programming optimization

When signal-to-interference ratio is low, the energy of strong interference leaked from the side lobe of beam pattern will infect the detection of weak target. Therefore, the beam pattern needs to be optimized. The existing Dolph-Chebyshev weighting method can get the lowest side lobe level under given main lobe width, but for the other non-uniform circular array and nonlinear array, the low side lobe pattern needs to be designed specially. The second order cone programming optimization （SOCP） algorithm proposed in the paper transforms the optimization of the beam pattern into a standard convex optimization problem. Thus there is a paradigm to follow for any array formation, which not only achieves the purpose of Dolph-Chebyshev weighting, but also solves the problem of the increased side lobe when the signal is at end fire direction The simulation proves that the SOCP algorithm can detect the weak target better than the conventional beam forming.

Program Development and Implementation of Landscape Pattern Indexes for Land Use Based on RS

Interpretation results of RS images were taken as the foundation, ETM RS images of July 15, 2009 as the data source, ENVI was applied for the preprocessing, Arc GIS used to finish the interpretation, master data obtained, and VB used to complete program development. 12 representative landscape pattern indexes were selected, Excel data used to create Access database, and VB used to complete the program development. Selection of landscape pattern indexes, program development process and program usage were summarized, through comparing its results with Excel calculation results, it was found that calculation results of this program were correct, the usage was convenient, so needs of most users could be satisfied.

Detecting Design Patterns in Object-Oriented Program Source Code by Using Metrics and Machine Learning

Detecting well-known design patterns in object-oriented program source code can help maintainers understand the design of a program. Through the detection, the understandability, maintainability, and reusability of object-oriented programs can be improved. There are automated detection techniques;however, many existing techniques are based on static analysis and use strict conditions composed on class structure data. Hence, it is difficult for them to detect and distinguish design patterns in which the class structures are similar. Moreover, it is difficult for them to deal with diversity in design pattern applications. To solve these problems in existing techniques, we propose a design pattern detection technique using source code metrics and machine learning. Our technique judges candidates for the roles that compose design patterns by using machine learning and measurements of several metrics, and it detects design patterns by analyzing the relations between candidates. It suppresses false negatives and distinguishes patterns in which the class structures are similar. As a result of experimental evaluations with a set of programs, we confirmed that our technique is more accurate than two conventional techniques.

Incremental Computation of Success Patterns of Logic Programs

A method is presented for incrementally computing success patterns of logic programs. The set of success patterns of a logic program with respect to an abstraction is formulated as the success set of an equational logic program modulo an equality theory that is induced by the abstraction. The method is exemplified via depth and stump abstractions. Also presented are algorithms for computing most general unifiers modulo equality theories induced by depth and stump abstractions.

坏死性凋亡分子机制及与牙周炎的相关性

背景:近年来,随着细胞死亡研究的不断深入,坏死性凋亡逐渐成为学术界研究的热点和难点,其多种信号通路及蛋白在牙周炎的发生发展中起到不可忽视的作用,人们试图通过阻止细胞坏死性凋亡的发生,从而延缓牙周组织炎症的进程。目的:就坏死性凋亡的分子机制及其与牙周炎的相关性进行综述,期望为牙周炎的预防、诊断、治疗及预后提供新思路、新方向。方法:第一作者于2023年10月应用计算机检索PubMed、中国知网等数据库建库到2024年4月发表的相关文献,以“坏死性凋亡,细胞程序性死亡,牙周炎,牙周,免疫,炎症,受体相互作用蛋白激酶1,受体相互作用蛋白激酶3,混合系列蛋白激酶样结构域”为中文检索词;“necroptosis,programmed cell death,periodontitis,periodontal,immunity,inflammation,RIP1,RIP3,MLKL”为英文检索词,阅读每篇文献的文题、摘要、引言进行初步筛选,最终纳入56篇文献进行总结分析。结果与结论:①牙周炎的主要发病机制为牙周致病菌刺激机体,导致牙周微环境发生改变,打破原有免疫平衡并释放各种炎症因子,引发炎症反应造成牙周组织破坏,坏死性凋亡可以调控牙周组织免疫炎症反应,从而影响牙周炎的发生发展进程;②坏死性凋亡的发生与多种蛋白、信号通路及信号分子有关,已有动物实验证实了磷酸化混合系列蛋白激酶样结构域(pMLKL)的表达量与炎症程度有关,且在患有牙周炎小鼠的牙周组织中,RIP3和pMLKL高表达,通过阻断RIP3/MLKL通路,有利于减少牙周组织炎症、控制牙周炎的进展;③探究pMLKL是否可作为牙周炎的诊断指标,在牙周炎的预防、诊断及治疗上有很大价值。

Cutting technic for Pinus elliottii plantation of the multi-benefit management pattern

The cutting technic for thePinus elliottii plantation of the multi-benefit management pattern in the hilly region of Jiangxi Province was studied by establishing the model of growth progress according to Richards function and simulating the tending cutting on computer by use of dynamic programming. The results showed that the best time for the initial thinning was at tree age of 8–10 and final cutting was at tree age of 25. The optimal thinning project was 3 times of thinning cutting including the first thinning, and the thinning time was at tree ages of 8, 12 and 16, respectively. Their thinning intensities were separately 950, 700 and 300 trunks per hectare, and the preserved density was 550 trunks per hectare until the final cutting Keywords Pinus elliottir - Multi-benefit management pattern - Richards function - Cutting technic - Dynamic programming CLC number S757.4 Document code A Foundation item: This study was supported by Natural Science Foundation of Jiangxi Province (A grant 0330023)Biography: WANG Qing-chun (1970-), male, Ph. Doctor, Senior Engineer in Academy of Forest Inventory & Planning, Jiangxi, Nanchang 330046, P.R. China.Responsible editor: Song Funan

Visualization of flatness pattern recognition based on T-S cloud inference network

Flatness pattern recognition is the key of the flatness control. The accuracy of the present flatness pattern recognition is limited and the shape defects cannot be reflected intuitively. In order to improve it, a novel method via T-S cloud inference network optimized by genetic algorithm(GA) is proposed. T-S cloud inference network is constructed with T-S fuzzy neural network and the cloud model. So, the rapid of fuzzy logic and the uncertainty of cloud model for processing data are both taken into account. What's more, GA possesses good parallel design structure and global optimization characteristics. Compared with the simulation recognition results of traditional BP Algorithm, GA is more accurate and effective. Moreover, virtual reality technology is introduced into the field of shape control by Lab VIEW, MATLAB mixed programming. And virtual flatness pattern recognition interface is designed.Therefore, the data of engineering analysis and the actual model are combined with each other, and the shape defects could be seen more lively and intuitively.

Evaluation of prognostic factors and clinicopathological patterns of recurrence after curative surgery for colorectal cancer

BACKGROUND Colorectal cancer is a common tumor with a quite high-related mortality.Despite the used curative treatments,patients will develop cancer recurrence in up to 50%of the cases and/or other primary neoplasms.Although most of the recurrences are discovered within 3 years from the first treatment,a small percentage is found after 5 years.The early detection of recurrence is crucial to allow further therapies improving patients’survival.Several follow-up programs have been developed but the optimal one is far from being established.AIM To evaluation of potential prognostic factors for timing and patterns of recurrence in order to plan tailored follow-up programs.METHODS Perioperative and long-term data of all consecutive patients surgically treated with curative intent,from January 2006 to June 2009,for colorectal adenocarcinoma,were retrospectively reviewed to find potential prognostic factors associated with:(1)Recurrence incidence;(2)Incidence of an early(within 3 years from surgery)or late recurrence;and(3)Different sites of recurrence.In addition,the incidence of other primary neoplasms has been evaluated in a cohort of patients with a minimum potential follow-up of 10 years.RESULTS Our study included 234 patients.The median follow-up period has been 119±46.2 mo.The recurrence rate has been 25.6%.Patients with a higher chance to develop recurrence had also the following characteristics:Higher levels of preoperative glycemia and carcinoembryonic antigen,highest anaesthesiologists Score score,occlusion,received a complex operation performed with an open technique,after a longer hospital stay,and showed advanced tumors.The independent prognostic factors for recurrence were the hospital stay,N stage 2,and M stage 1(multivariate analysis).Younger ages were significantly associated with an early recurrence onset.Patients that received intermediate colectomies or segmental resections,having an N stage 2 or American Joint Committee on Cancer stage 3 tumors were also associated with a higher risk of liver recurrence,while metastatic diseases at diagnosis were linked with local recurrence.Neoadjuvant treatments showed lung recurrence.Finally,bigger tumors and higher lymph node ratio were associated with peritoneal recurrence(marginally significant).Thirty patients developed a second malignancy during the follow-up time.CONCLUSION Several prognostic factors should be considered for tailored follow-up programs,eventually,beyond 5 years from the first treatment.

Context-Aware Practice Problem Recommendation Using Learners’ Skill Level Navigation Patterns

The use of programming online judges(POJs)has risen dramatically in recent years,owing to the fact that the auto-evaluation of codes during practice motivates students to learn programming.Since POJs have greater number of pro-gramming problems in their repository,learners experience information overload.Recommender systems are a common solution to information overload.Current recommender systems used in e-learning platforms are inadequate for POJ since recommendations should consider learners’current context,like learning goals and current skill level(topic knowledge and difficulty level).To overcome the issue,we propose a context-aware practice problem recommender system based on learners’skill level navigation patterns.Our system initially performs skill level navigation pattern mining to discover frequent skill level navigations in the POJ and tofind learners’learning goals.Collaborativefiltering(CF)and con-tent-basedfiltering approaches are employed to recommend problems in the cur-rent and next skill levels based on frequent skill level navigation patterns.The sequence similarity measure is used tofind the top k neighbors based on the sequence of problems solved by the learners.The experiment results based on the real-world POJ dataset show that our approach considering the learners’cur-rent skill level and learning goals outperforms the other approaches in practice problem recommender systems.

Evolution Process of Urban Spatial Pattern in Hubei Province Based on DMSP/OLS Nighttime Light Data

This paper intends to investigate the urban spatial patterns of Hubei Province and its evolution from three different perspectives: urban nodes, urban connections and urban clusters. The research adopts nighttime light imagery of cities in Hubei Province, the viewpoint of ′point-axis-area′ in the ′point-axis system′ theory, and employs light index model, gravity model and social network analysis. The findings are as follows: 1) In terms of urban nodes, the urbanization process of Hubei has been carried out mainly on the basis of external expansion rather than internal increasing. The polarization trend of urban connection network is strengthening. 2) As for urban connections, the estimation of urban connections using light index model is capable of containing various actual flow, and the connections are getting increasingly closer. 3) In regard to urban groups, seven urban groups of varying sizes have formed. On that basis, three stable and relatively independent urban groups as the centers, namely Wuchang, Yichang and Xiangyang emerge as well. But the structures of ′Wuhan Metropolitan Area′, ′Yichang-Jingzhou-Jingmen City Group′ and ′Xiangyang-Shiyen-Suizhou City Group′, which are defined by local development strategy in Hubei Province, are different from the above three urban groups.

Study on Test Compaction in High-Level Automatic Test Pattern Generation (ATPG) Platform

Advancements in semiconductor technology are making gate-level test generation more challenging. This is because a large amount of detailed structural information must be processed in the search process of automatic test pattern generation (ATPG). In addition, ATPG needs to deal with new defects caused by process variation when IC is shrinking. To reduce the computation effort of ATPG, test generation could be started earlier at higher abstraction level, which is in line with top-down design methodology that has become more popular nowadays. In this research, we employ Chen’s high-level fault model in the high-level ATPG. Besides shorter ATPG time as shown in many previous works, our study showed that high-level ATPG also contributes to test compaction. This is because most of the high-level faults correlate with the gate-level collapsed faults especially at input/output of the modules in a circuit. The high-level ATPG prototype used in our work is mainly composed by constraint-driven test generation engine and fault simulation engine. Experimental result showed that more reduced/compact test set can be generated from the high-level ATPG.

Computer-aided Pattern Design of Multi-bar Warp Knitted Fabrics

To meet the development trend of multi-bar warp knit-ting machine towards high-speed,advanced technologyand computer control and the requirements of variousproducts with small quantity,there are many researcheson the computer-aided pattern design of multi-barwarp knitted fabrics.In terms of the special propertiesof the computer-aided pattern design of multi-barwarp knitted fabrics,the Object Oriented Program(OOP)programming-Object Windows class Library(OWL)programming is selected.According to thecharacters of the OWL programming,various functionsare defined.Pattern design and technical parameters canbe output,which offers a great convenience for the fac-tory.

Propagation Pattern模型及改进

面向对象对软件工程有着极大的意义,但同时也带来了编程上的新问题。由于复杂类结构和冗余代码所带来的源码重读困难,使软件进化和维护都未达到理想的目的。我们研究美国Northeastern大学的自动面向对象程序生成工具Propagation Pattern模型,并将其发展为一种新的程序索引描述。这里我们结合类图和Propagation Pattern抽象描述,希望能以简洁的图文形式描述面向对象程序,以利于软件的重读和进化。

省级学前教育高水平专业群建设的现状、挑战与进路——基于28个省级“双高计划”专业群的分析

在“新师范”和“双高计划”背景下,高职院校尤其是师范高等专科学校的学前教育专业群在有效助推保教人才培养、有效促进学校高质量发展、有效服务国家战略倡议上取得了一定的成绩。与此同时,也面临相关专业需求数量的锐减、办学空间的压缩和高质量发展任重道远等现实挑战。推动省级学前教育高水平专业群高质量发展,需要在宏观层面做好顶层设计、中观层面融入现代职业教育体系建设、微观层面优化专业群治理机制。

基于声音可视化技术的扎染图案创新设计

针对扎染染色过程中造成的材料浪费问题,提出通过声音可视化技术模拟扎染的染色效果实现图案生成。在分析卷压扎染技法染色效果基础上进行线条抽象元素提取,利用Processing声音可视化技术实现抽象元素程序化表达,为使生成图案效果丰富,加入设计变量与参数化设计,结合音频最终生成4种风格的扎染图案。经多次生成实验发现,图案截取过程中速度间隔数值与圆点直径数值成正比时,其生成效果最优,形成的晕染效果与扎染相似。将该技术应用于服装与交互设计领域,可为相关产品图案设计提供新的设计灵感与思路。

Optimizing Memory Access Efficiency in CUDA Kernel via Data Layout Technique

Over the past decade, Graphics Processing Units (GPUs) have revolutionized high-performance computing, playing pivotal roles in advancing fields like IoT, autonomous vehicles, and exascale computing. Despite these advancements, efficiently programming GPUs remains a daunting challenge, often relying on trial-and-error optimization methods. This paper introduces an optimization technique for CUDA programs through a novel Data Layout strategy, aimed at restructuring memory data arrangement to significantly enhance data access locality. Focusing on the dynamic programming algorithm for chained matrix multiplication—a critical operation across various domains including artificial intelligence (AI), high-performance computing (HPC), and the Internet of Things (IoT)—this technique facilitates more localized access. We specifically illustrate the importance of efficient matrix multiplication in these areas, underscoring the technique’s broader applicability and its potential to address some of the most pressing computational challenges in GPU-accelerated applications. Our findings reveal a remarkable reduction in memory consumption and a substantial 50% decrease in execution time for CUDA programs utilizing this technique, thereby setting a new benchmark for optimization in GPU computing.

都市圈轨道交通多阶段交路一体化编制研究

在都市圈轨道交通线网不断织密和互联互通背景下,不同时期的线网结构会影响运行交路方案。考虑都市圈轨道交通网在不同阶段的变化情况,研究都市圈轨道交通多阶段运行交路一体化编制问题。首先,以各阶段交路车型编组与开行频率、直达与换乘客流配流情况为决策变量,以最小化乘客旅行时间与交路运行里程为目标,考虑客流需求、服务频率、通过能力、交路设置规则、交路多阶段延续性等约束,构建都市圈区域线网多阶段运行交路一体化编制模型。以某都市圈新建城际快轨为例进行实证研究,结果表明,本方法一体化编制的不同阶段交路方案具有良好的延续性和稳定性;相比各线路分别运行本线交路模式,能够减少乘客因换乘增加的时间,节时比达到18%~19%。

Deterministic Pattern Classifier Based on Genetic Programming

This paper proposes a supervised training\|test method with Genetic Programming (GP) for pattern classification. Compared and contrasted with traditional methods with regard to deterministic pattern classifiers, this method is true for both linear separable problems and linear non\|separable problems. For specific training samples, it can formulate the expression of discriminate function well without any prior knowledge. At last, an experiment is conducted, and the result reveals that this system is effective and practical.

程式化造物下“规矩”与“规矩纹”研究对现代设计的启示

规矩与规矩纹对现代平面类设计的启示主要体现在:象征之数,即通过特定的数字体系以及和谐的数字比例来创造出设计美感;程式之势,即通过运用特定的算法来设计出一套程序从而创造出参数可变的作品;匠心之形:即在设计过程中具备如同匠人一般的专注和细致;时代之流,即要将古代的规矩纹与现代的实际应用相结合从而实现古为今用的迁移化设计风格。

金电建设阶段程序体系构建

制度建设是核电厂的一项基础管理工作,科学合理的程序制度可以畅通管理渠道、规范管理流程、指导员工履职,在核电厂设计、建造及运行的各个阶段,都应依法合规管理核设施。为有效保证核电项目在工程建设阶段的各方面工作合规有序开展,核电厂的营运单位和建设单位必须在实施核电项目前期准备及工程建设时期同步建立相应的管理程序体系。金电项目依托于商运核电厂已有的成熟管理制度体系,通过梳理上游文件、程序体系框架及管理体系验证活动,确定新项目的程序体系建设总体目标,引入阶段式程序建设模式,制定程序编码及程序模板、梳理各阶段程序清单,并采用三级程序审查、质量工程师审查、程序编制进度跟踪以及程序编制经验反馈等方式对程序编制质量进行总体管控,有效完成了程序体系建设的阶段任务,同时为后续核电新项目程序体系建立提供借鉴。